{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T18:35:44Z","timestamp":1789583744519,"version":"build-2803163510"},"reference-count":40,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2017,7,31]],"date-time":"2017-07-31T00:00:00Z","timestamp":1501459200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000066","name":"National Institute of Environmental Health Sciences","doi-asserted-by":"publisher","award":["RD83543601"],"award-info":[{"award-number":["RD83543601"]}],"id":[{"id":"10.13039\/100000066","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000066","name":"National Institute of Environmental Health Sciences","doi-asserted-by":"publisher","award":["P01ES022844"],"award-info":[{"award-number":["P01ES022844"]}],"id":[{"id":"10.13039\/100000066","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000139","name":"U.S. Environmental Protection Agency","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000139","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Obesity"],"published-print":{"date-parts":[[2017,9]]},"abstract":"<jats:sec><jats:title>Objective<\/jats:title><jats:p>The goal of this study was to identify metabolites associated with metabolic risk, separately by sex, in Mexican adolescents.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Untargeted metabolomic profiling was carried out on fasting serum of 238 youth aged 8 to 14 years, and metabolites associated with a metabolic syndrome risk <jats:italic>z<\/jats:italic>\u2010score (MetRisk <jats:italic>z<\/jats:italic>\u2010score) were identified separately for boys and girls, using the simulation and extrapolation algorithm. Associations of each metabolite with MetRisk <jats:italic>z<\/jats:italic>\u2010score were examined using linear regression models that accounted for maternal education, child's age, and pubertal status.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Of the 938 features identified in metabolomics analysis, 7 named compounds (of 27 identified metabolites) were associated with MetRisk <jats:italic>z<\/jats:italic>\u2010score in girls, and 3 named compounds (of 14 identified) were associated with MetRisk <jats:italic>z<\/jats:italic>\u2010score in boys. In girls, diacylglycerol (DG) 16:0\/16:0, 1,3\u2010dielaidin, myo\u2010inositol, and urate corresponded with higher MetRisk <jats:italic>z<\/jats:italic>\u2010score, whereas N\u2010acetylglycine, thymine, and dodecenedioic acid were associated with lower MetRisk <jats:italic>z<\/jats:italic>\u2010score. For example, each <jats:italic>z<\/jats:italic>\u2010score increment in DG 16:0\/16:0 corresponded with 0.60 (95% CI: 0.47\u20100.74) units higher MetRisk <jats:italic>z<\/jats:italic>\u2010score. In boys, positive associations of DG 16:0\/16:0, tyrosine, and 5\u2032\u2010methylthioadenosine with MetRisk <jats:italic>z<\/jats:italic>\u2010score were found.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Metabolites on lipid, amino acid, and carbohydrate metabolism pathways are associated with metabolic risk in girls. Compounds on lipid and DNA pathways correspond with metabolic risk in boys.<\/jats:p><\/jats:sec>","DOI":"10.1002\/oby.21926","type":"journal-article","created":{"date-parts":[[2017,7,31]],"date-time":"2017-07-31T05:42:38Z","timestamp":1501479758000},"page":"1594-1602","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":40,"title":["Metabolomic Determinants of Metabolic Risk in Mexican Adolescents"],"prefix":"10.1002","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8552-6850","authenticated-orcid":false,"given":"Wei","family":"Perng","sequence":"first","affiliation":[{"name":"Department of Nutritional Sciences University of Michigan School of Public Health Ann Arbor Michigan USA"},{"name":"Department of Epidemiology University of Michigan School of Public Health Ann Arbor Michigan USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emily C.","family":"Hector","sequence":"additional","affiliation":[{"name":"Department of Biostatistics University of Michigan School of Public Health Ann Arbor Michigan USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter X.K.","family":"Song","sequence":"additional","affiliation":[{"name":"Department of Biostatistics University of Michigan School of Public Health Ann Arbor Michigan USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martha Maria","family":"Tellez Rojo","sequence":"additional","affiliation":[{"name":"Center for Research on Nutrition and Health, National Institute of Public Health Cuernavaca Morelos M\u00e9xico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sasha","family":"Raskind","sequence":"additional","affiliation":[{"name":"Michigan Regional Comprehensive Metabolomics Resource Core University of Michigan Medical School Ann Arbor Michigan USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maureen","family":"Kachman","sequence":"additional","affiliation":[{"name":"Michigan Regional Comprehensive Metabolomics Resource Core University of Michigan Medical School Ann Arbor Michigan USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alejandra","family":"Cantoral","sequence":"additional","affiliation":[{"name":"Center for Research on Nutrition and Health, National Institute of Public Health Cuernavaca Morelos M\u00e9xico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Charles F.","family":"Burant","sequence":"additional","affiliation":[{"name":"Department of Nutritional Sciences University of Michigan School of Public Health Ann Arbor Michigan USA"},{"name":"Michigan Regional Comprehensive Metabolomics Resource Core University of Michigan Medical School Ann Arbor Michigan USA"},{"name":"Center for Computational Medicine and Bioinformatics University of Michigan Medical School Ann Arbor Michigan USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karen E.","family":"Peterson","sequence":"additional","affiliation":[{"name":"Department of Nutritional Sciences University of Michigan School of Public Health Ann Arbor Michigan USA"},{"name":"Center for Human Growth and Development University of Michigan Ann Arbor Michigan USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2017,7,31]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.2337\/dc15-2251"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpeds.2011.03.021"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1161\/01.HYP.7.3.411"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1210\/jc.2005-2778"},{"key":"e_1_2_7_6_1","doi-asserted-by":"crossref","first-page":"1842","DOI":"10.1001\/archinte.1994.00420160079011","article-title":"Persistence of multiple cardiovascular risk clustering related to syndrome X from childhood to young adulthood. 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